Overview

Dataset statistics

Number of variables7
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory61.0 B

Variable types

Numeric1
Categorical3
Text2
DateTime1

Dataset

Description경기도 안산시 공동생활가정 현황으로 번호,구분,가정명,주소,신고일,상태,데이터기준일자 등의 목록을 제공합니다.
Author경기도 안산시
URLhttps://www.data.go.kr/data/3035952/fileData.do

Alerts

구분 has constant value ""Constant
상태 has constant value ""Constant
데이터기준일자 has constant value ""Constant
번호 has unique valuesUnique
가정명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:02:35.195378
Analysis finished2023-12-12 16:02:35.822804
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T01:02:35.908690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2023-12-13T01:02:36.112493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
아동·청소년복지
33 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아동·청소년복지
2nd row아동·청소년복지
3rd row아동·청소년복지
4th row아동·청소년복지
5th row아동·청소년복지

Common Values

ValueCountFrequency (%)
아동·청소년복지 33
100.0%

Length

2023-12-13T01:02:36.272762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:02:36.400040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아동·청소년복지 33
100.0%

가정명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T01:02:36.618443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.7575758
Min length2

Characters and Unicode

Total characters190
Distinct characters90
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row가온바람
2nd row기쁨의집
3rd row나르샤
4th row라온아띠
5th row미라클
ValueCountFrequency (%)
함박웃음 2
 
5.7%
가온바람 1
 
2.9%
인애해바라기가정 1
 
2.9%
에벤에셀 1
 
2.9%
옹달샘 1
 
2.9%
요셉의집 1
 
2.9%
우리집2 1
 
2.9%
우리집3 1
 
2.9%
이레 1
 
2.9%
평강의집 1
 
2.9%
Other values (24) 24
68.6%
2023-12-13T01:02:37.055431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 13
 
6.8%
정 12
 
6.3%
스 7
 
3.7%
호 6
 
3.2%
집 6
 
3.2%
마 6
 
3.2%
수 5
 
2.6%
리 4
 
2.1%
모 4
 
2.1%
2 4
 
2.1%
Other values (80) 123
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
93.2%
Decimal Number 8
 
4.2%
Uppercase Letter 3
 
1.6%
Space Separator 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 13
 
7.3%
정 12
 
6.8%
스 7
 
4.0%
호 6
 
3.4%
집 6
 
3.4%
마 6
 
3.4%
수 5
 
2.8%
리 4
 
2.3%
모 4
 
2.3%
을 4
 
2.3%
Other values (72) 110
62.1%
Decimal Number
ValueCountFrequency (%)
2 4
50.0%
3 2
25.0%
1 1
 
12.5%
4 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
E 1
33.3%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 177
93.2%
Common 10
 
5.3%
Latin 3
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 13
 
7.3%
정 12
 
6.8%
스 7
 
4.0%
호 6
 
3.4%
집 6
 
3.4%
마 6
 
3.4%
수 5
 
2.8%
리 4
 
2.3%
모 4
 
2.3%
을 4
 
2.3%
Other values (72) 110
62.1%
Common
ValueCountFrequency (%)
2 4
40.0%
3 2
20.0%
2
20.0%
1 1
 
10.0%
4 1
 
10.0%
Latin
ValueCountFrequency (%)
L 1
33.3%
E 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
93.2%
ASCII 13
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 13
 
7.3%
정 12
 
6.8%
스 7
 
4.0%
호 6
 
3.4%
집 6
 
3.4%
마 6
 
3.4%
수 5
 
2.8%
리 4
 
2.3%
모 4
 
2.3%
을 4
 
2.3%
Other values (72) 110
62.1%
ASCII
ValueCountFrequency (%)
2 4
30.8%
3 2
15.4%
2
15.4%
1 1
 
7.7%
4 1
 
7.7%
L 1
 
7.7%
E 1
 
7.7%
D 1
 
7.7%

주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T01:02:37.461677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length35.393939
Min length26

Characters and Unicode

Total characters1168
Distinct characters89
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row경기도 안산시 상록구 충장로6길 22-3, 4층 401호 (이동)
2nd row경기도 안산시 상록구 한양대학1길 59-5, 401호 (사동)
3rd row경기도 안산시 상록구 후곡로 1286 번지 7 호 401 호
4th row경기도 안산시 상록구 도매시장로3길 13, 3층 301호 (일동)
5th row경기도 안산시 상록구 시낭북로1길 1, 3층 302호 (부곡동)
ValueCountFrequency (%)
경기도 33
 
13.1%
안산시 33
 
13.1%
상록구 17
 
6.7%
단원구 16
 
6.3%
401호 10
 
4.0%
와동 8
 
3.2%
본오동 7
 
2.8%
사동 5
 
2.0%
301호 5
 
2.0%
3층 5
 
2.0%
Other values (92) 113
44.8%
2023-12-13T01:02:37.968602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
 
18.8%
1 62
 
5.3%
동 42
 
3.6%
안 40
 
3.4%
0 39
 
3.3%
, 37
 
3.2%
시 36
 
3.1%
도 34
 
2.9%
산 34
 
2.9%
호 34
 
2.9%
Other values (79) 591
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 620
53.1%
Space Separator 219
 
18.8%
Decimal Number 219
 
18.8%
Other Punctuation 37
 
3.2%
Open Punctuation 32
 
2.7%
Close Punctuation 32
 
2.7%
Dash Punctuation 9
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 42
 
6.8%
안 40
 
6.5%
시 36
 
5.8%
도 34
 
5.5%
산 34
 
5.5%
호 34
 
5.5%
경 33
 
5.3%
구 33
 
5.3%
기 33
 
5.3%
길 26
 
4.2%
Other values (64) 275
44.4%
Decimal Number
ValueCountFrequency (%)
1 62
28.3%
0 39
17.8%
3 29
13.2%
4 28
12.8%
2 22
 
10.0%
6 12
 
5.5%
5 11
 
5.0%
9 6
 
2.7%
7 6
 
2.7%
8 4
 
1.8%
Space Separator
ValueCountFrequency (%)
219
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 620
53.1%
Common 548
46.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 42
 
6.8%
안 40
 
6.5%
시 36
 
5.8%
도 34
 
5.5%
산 34
 
5.5%
호 34
 
5.5%
경 33
 
5.3%
구 33
 
5.3%
기 33
 
5.3%
길 26
 
4.2%
Other values (64) 275
44.4%
Common
ValueCountFrequency (%)
219
40.0%
1 62
 
11.3%
0 39
 
7.1%
, 37
 
6.8%
( 32
 
5.8%
) 32
 
5.8%
3 29
 
5.3%
4 28
 
5.1%
2 22
 
4.0%
6 12
 
2.2%
Other values (5) 36
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 620
53.1%
ASCII 548
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
40.0%
1 62
 
11.3%
0 39
 
7.1%
, 37
 
6.8%
( 32
 
5.8%
) 32
 
5.8%
3 29
 
5.3%
4 28
 
5.1%
2 22
 
4.0%
6 12
 
2.2%
Other values (5) 36
 
6.6%
Hangul
ValueCountFrequency (%)
동 42
 
6.8%
안 40
 
6.5%
시 36
 
5.8%
도 34
 
5.5%
산 34
 
5.5%
호 34
 
5.5%
경 33
 
5.3%
구 33
 
5.3%
기 33
 
5.3%
길 26
 
4.2%
Other values (64) 275
44.4%

신고일
Date

Distinct27
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum1994-10-09 00:00:00
Maximum2020-08-06 00:00:00
2023-12-13T01:02:38.144965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:02:38.331127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
운영중
33 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영중
2nd row운영중
3rd row운영중
4th row운영중
5th row운영중

Common Values

ValueCountFrequency (%)
운영중 33
100.0%

Length

2023-12-13T01:02:38.502249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:02:38.623171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 33
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2022-09-07
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-07
2nd row2022-09-07
3rd row2022-09-07
4th row2022-09-07
5th row2022-09-07

Common Values

ValueCountFrequency (%)
2022-09-07 33
100.0%

Length

2023-12-13T01:02:38.761830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:02:38.885385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-07 33
100.0%

Interactions

2023-12-13T01:02:35.476382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:02:38.960842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호가정명주소신고일
번호1.0001.0001.0000.880
가정명1.0001.0001.0001.000
주소1.0001.0001.0001.000
신고일0.8801.0001.0001.000

Missing values

2023-12-13T01:02:35.599077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:02:35.760662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호구분가정명주소신고일상태데이터기준일자
01아동·청소년복지가온바람경기도 안산시 상록구 충장로6길 22-3, 4층 401호 (이동)2012-08-08운영중2022-09-07
12아동·청소년복지기쁨의집경기도 안산시 상록구 한양대학1길 59-5, 401호 (사동)2008-11-14운영중2022-09-07
23아동·청소년복지나르샤경기도 안산시 상록구 후곡로 1286 번지 7 호 401 호2008-09-01운영중2022-09-07
34아동·청소년복지라온아띠경기도 안산시 상록구 도매시장로3길 13, 3층 301호 (일동)2020-06-26운영중2022-09-07
45아동·청소년복지미라클경기도 안산시 상록구 시낭북로1길 1, 3층 302호 (부곡동)2014-06-24운영중2022-09-07
56아동·청소년복지바라봄경기도 안산시 상록구 삼리로 24, 106동 2층 202호 (사동, 숲속마을아파트)2019-02-18운영중2022-09-07
67아동·청소년복지보금자리경기도 안산시 상록구 석호공원로1길 10, 3층 401호 (사동)2012-07-25운영중2022-09-07
78아동·청소년복지빅사랑경기도 안산시 상록구 이화3길 9, 4층 401호 (사동)2014-01-23운영중2022-09-07
89아동·청소년복지상록수마을1호가정경기도 안산시 상록구 충장로1길 44, 401호 (본오동)2020-01-03운영중2022-09-07
910아동·청소년복지상록수마을2호가정경기도 안산시 상록구 이호로7길 13, 101호 (본오동, 대명하이빌)2020-01-03운영중2022-09-07
번호구분가정명주소신고일상태데이터기준일자
2324아동·청소년복지우리집3경기도 안산시 상록구 막고지1길 5, 401호 (본오동)1998-10-01운영중2022-09-07
2425아동·청소년복지이레경기도 안산시 상록구 해양1로 30, 713동 1층 104호 (사동, 안산고잔7차푸르지오)2018-07-02운영중2022-09-07
2526아동·청소년복지인애해바라기가정경기도 안산시 단원구 화정천동로5안길 41 (와동)2001-10-01운영중2022-09-07
2627아동·청소년복지평강의집경기도 안산시 상록구 오목로7길 9-1, 401호 (본오동)2006-07-10운영중2022-09-07
2728아동·청소년복지한신예수가정경기도 안산시 단원구 사세충열로4길 3 (와동)2000-05-01운영중2022-09-07
2829아동·청소년복지함박스마일경기도 안산시 단원구 화정천동로5안길 36, 301호 (와동)2018-10-29운영중2022-09-07
2930아동·청소년복지함박웃음경기도 안산시 단원구 평화안길 31, 301호 (고잔동)2019-01-03운영중2022-09-07
3031아동·청소년복지함박웃음 2호가정경기도 안산시 단원구 강서길 29, 401호 (와동)2019-01-03운영중2022-09-07
3132아동·청소년복지해피엔젤경기도 안산시 단원구 선부로 106, 4층 402호 (선부동)2008-03-31운영중2022-09-07
3233아동·청소년복지해피하우스 푸른초장경기도 안산시 단원구 선부로 166, 128동 2층 205호 (선부동, 공작한양아파트)2007-03-09운영중2022-09-07